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certifiable-calibration

Certifiably globally optimal extrinsic calibration for sensors providing egomotion estimates.

MATLAB Code for Egomotion Sensor Calibration

See the matlab/ directory for instructions on how to run the algorithm from our 2019 IEEE RA-L publication. The data/ directory contains files with experimental results from our paper.

Python Code for Monocular Hand-Eye Calibration

See the python/extrinsic_calibration directory for instructions on how to run the algorithm from our IEEE MFI 2020 publication.

Citation

If you use this work in your research, please cite the following papers:

@article{2019_Giamou_Certifiably,
  doi = {10.1109/LRA.2018.2890444},
  journal = {{IEEE} Robotics and Automation Letters},
  month = {April},
  number = {2},
  pages = {367--374},
  title = {Certifiably Globally Optimal Extrinsic Calibration from Per-Sensor Egomotion},
  url = {https://arxiv.org/abs/1809.03554},
  volume = {4},
  year = {2019}
}

@inproceedings{2020_Wise_Certifiably,
  address = {Karlsruhe, Germany},
  author = {Emmett Wise and Matthew Giamou and Soroush Khoubyarian and Abhinav Grover and Jonathan Kelly},
  booktitle = {Proceedings of the {IEEE} International Conference on Multisensor Fusion and Integration {(MFI)}},
  doi = {10.1109/MFI49285.2020.9235219},
  title = {Certifiably Optimal Monocular Hand-Eye Calibration},
  url = {https://arxiv.org/abs/2005.08298},
  year = {2020}
}

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Certifiably globally optimal extrinsic calibration for sensors providing egomotion estimates.

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